Columbia University

∙ New York , United States ∙ 0 followers

Located In New York City, The School at Columbia University is a Private K-8 Day School serving neighborhood families and Columbia University employees.

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

In recent years there has been an increasing trend in which data scienti...
09/08/2019 ∙ by Yaoli Mao, et al. ∙ 72 ∙ share

read it
AutoML using Metadata Language Embeddings

As a human choosing a supervised learning algorithm, it is natural to be...
10/08/2019 ∙ by Iddo Drori, et al. ∙ 36 ∙ share

read it
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax

The Gumbel-Softmax is a continuous distribution over the simplex that is...
12/19/2019 ∙ by Andres Potapczynski, et al. ∙ 36 ∙ share

read it
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples

Modern image classification systems are often built on deep neural netwo...
11/25/2019 ∙ by Chang Xiao, et al. ∙ 33 ∙ share

read it
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data

Current neuroimaging techniques provide paths to investigate the structu...
04/10/2021 ∙ by Nanyan Zhu, et al. ∙ 30 ∙ share

read it
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing

Existing methods for face image manipulation generally focus on editing ...
05/06/2019 ∙ by Sen-Zhe Xu, et al. ∙ 28 ∙ share

read it
Theme-Matters: Fashion Compatibility Learning via Theme Attention

Fashion compatibility learning is important to many fashion markets such...
12/12/2019 ∙ by Jui-Hsin Lai, et al. ∙ 28 ∙ share

read it
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design

Parametric computer-aided design (CAD) is the dominant paradigm in mecha...
07/16/2020 ∙ by Ari Seff, et al. ∙ 26 ∙ share

read it
Noise2Blur: Online Noise Extraction and Denoising

We propose a new framework called Noise2Blur (N2B) for training robust i...
12/03/2019 ∙ by Huangxing Lin, et al. ∙ 25 ∙ share

read it
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

We consider the problem of inferring the values of an arbitrary set of v...
02/06/2019 ∙ by Hao Wang, et al. ∙ 24 ∙ share

read it
Unrestricted Adversarial Attacks for Semantic Segmentation

Semantic segmentation is one of the most impactful applications of machi...
10/06/2019 ∙ by Guangyu Shen, et al. ∙ 23 ∙ share

read it
Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval

Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
04/03/2019 ∙ by Hao Wang, et al. ∙ 22 ∙ share

read it
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation

We present a robot navigation system that uses an imitation learning fra...
09/20/2019 ∙ by David Watkins-Valls, et al. ∙ 21 ∙ share

read it
Learning to Compose Dynamic Tree Structures for Visual Contexts

We propose to compose dynamic tree structures that place the objects in ...
12/05/2018 ∙ by Kaihua Tang, et al. ∙ 20 ∙ share

read it
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health

In many review classification applications, a fine-grained analysis of t...
09/30/2019 ∙ by Giannis Karamanolakis, et al. ∙ 20 ∙ share

read it
Zero Shot Learning on Simulated Robots

In this work we present a method for leveraging data from one source to ...
10/04/2019 ∙ by Robert Kwiatkowski, et al. ∙ 18 ∙ share

read it
Controversial stimuli: pitting neural networks against each other as models of human recognition

Distinct scientific theories can make similar predictions. To adjudicate...
11/21/2019 ∙ by Tal Golan, et al. ∙ 18 ∙ share

read it
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

To combat COVID-19, both clinicians and scientists need to digest the va...
07/01/2020 ∙ by Qingyun Wang, et al. ∙ 18 ∙ share

read it
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation

Identifying hidden dynamics from observed data is a significant and chal...
03/21/2021 ∙ by Qiang Du, et al. ∙ 18 ∙ share

read it
Towards Understanding Fast Adversarial Training

Current neural-network-based classifiers are susceptible to adversarial ...
06/04/2020 ∙ by Bai Li, et al. ∙ 17 ∙ share

read it
Practical Deep Reinforcement Learning Approach for Stock Trading

Stock trading strategy plays a crucial role in investment companies. How...
11/19/2018 ∙ by Zhuoran Xiong, et al. ∙ 16 ∙ share

read it
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation

Deep generative models have been successfully applied to many applicatio...
01/28/2019 ∙ by Zihan Ding, et al. ∙ 16 ∙ share

read it
Unsupervised Deep Tracking

We propose an unsupervised visual tracking method in this paper. Differe...
04/03/2019 ∙ by Ning Wang, et al. ∙ 16 ∙ share

read it
ES-MAML: Simple Hessian-Free Meta Learning

We introduce ES-MAML, a new framework for solving the model agnostic met...
09/25/2019 ∙ by Xingyou Song, et al. ∙ 16 ∙ share

read it
Adversarial Attacks are Reversible with Natural Supervision

We find that images contain intrinsic structure that enables the reversa...
03/26/2021 ∙ by Chengzhi Mao, et al. ∙ 16 ∙ share

read it
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

The ability to extrapolate gene expression dynamics in living single cel...
01/15/2020 ∙ by Nanyan Zhu, et al. ∙ 14 ∙ share

read it
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Generative Adversarial Networks (GANs) are formulated as minimax game pr...
06/16/2020 ∙ by Yuesong Tian, et al. ∙ 13 ∙ share

read it
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?

Sentence insertion is a delicate but fundamental NLP problem. Current ap...
03/28/2021 ∙ by Fang Wu, et al. ∙ 13 ∙ share

read it
Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces

We present a new algorithm ASEBO for conducting optimization of high-dim...
03/07/2019 ∙ by Krzysztof Choromanski, et al. ∙ 12 ∙ share

read it
PointHop: An Explainable Machine Learning Method for Point Cloud Classification

An explainable machine learning method for point cloud classification, c...
07/30/2019 ∙ by Min Zhang, et al. ∙ 12 ∙ share

read it
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics

We present an end-to-end statistical framework for personalized, accurat...
08/27/2019 ∙ by Iñigo Urteaga, et al. ∙ 12 ∙ share

read it
Rethinking Generative Coverage: A Pointwise Guaranteed Approach

All generative models have to combat missing modes. The conventional wis...
02/13/2019 ∙ by Peilin Zhong, et al. ∙ 12 ∙ share

read it
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging

We reproduced the results of CheXNet with fixed hyperparameters and 50 d...
12/08/2019 ∙ by John R. Zech, et al. ∙ 12 ∙ share

read it
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...
06/24/2020 ∙ by Xin Luna Dong, et al. ∙ 12 ∙ share

read it
General Partial Label Learning via Dual Bipartite Graph Autoencoder

We formulate a practical yet challenging problem: General Partial Label ...
01/05/2020 ∙ by Brian Chen, et al. ∙ 11 ∙ share

read it
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...
11/01/2018 ∙ by Xiangbo Shu, et al. ∙ 10 ∙ share

read it
Moment Matching for Multi-Source Domain Adaptation

Conventional unsupervised domain adaptation (UDA) assumes that training ...
12/04/2018 ∙ by Xingchao Peng, et al. ∙ 10 ∙ share

read it
Fully-Featured Attribute Transfer

Image attribute transfer aims to change an input image to a target one w...
02/17/2019 ∙ by De Xie, et al. ∙ 10 ∙ share

read it
Substituting Gadolinium in Brain MRI Using DeepContrast

Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabol...
01/15/2020 ∙ by Haoran Sun, et al. ∙ 9 ∙ share

read it
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning

Extracting effective deep features to represent content and style inform...
06/16/2020 ∙ by Jie An, et al. ∙ 9 ∙ share

read it
Smoothed Analysis of Online and Differentially Private Learning

Practical and pervasive needs for robustness and privacy in algorithms h...
06/17/2020 ∙ by Nika Haghtalab, et al. ∙ 9 ∙ share

read it
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling

Many real-world systems studied are governed by complex, nonlinear dynam...
11/29/2018 ∙ by Josue Nassar, et al. ∙ 8 ∙ share

read it
Deep Reinforcement Learning for Intelligent Transportation Systems

Intelligent Transportation Systems (ITSs) are envisioned to play a criti...
12/03/2018 ∙ by Xiao-Yang Liu, et al. ∙ 8 ∙ share

read it
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes

We propose a new class of structured methods for Monte Carlo (MC) sampli...
05/29/2019 ∙ by Krzysztof Choromanski, et al. ∙ 8 ∙ share

read it
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices

We consider the problem of functional matrix factorization, finding low-...
06/10/2019 ∙ by Wesley Tansey, et al. ∙ 8 ∙ share

read it
SemEval-2015 Task 10: Sentiment Analysis in Twitter

In this paper, we describe the 2015 iteration of the SemEval shared task...
12/05/2019 ∙ by Sara Rosenthal, et al. ∙ 8 ∙ share

read it
Valid Causal Inference with (Some) Invalid Instruments

Instrumental variable methods provide a powerful approach to estimating ...
06/19/2020 ∙ by Jason Hartford, et al. ∙ 8 ∙ share

read it
Image Outpainting and Harmonization using Generative Adversarial Networks

Although the inherently ambiguous task of predicting what resides beyond...
12/23/2019 ∙ by Basile Van Hoorick, et al. ∙ 7 ∙ share

read it
(Sequential) Importance Sampling Bandits

The multi-armed bandit (MAB) problem is a sequential allocation task whe...
08/08/2018 ∙ by Iñigo Urteaga, et al. ∙ 6 ∙ share

read it
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding

We address the problem of phrase grounding by learning a multi-level com...
11/28/2018 ∙ by Hassan Akbari, et al. ∙ 6 ∙ share

read it

Columbia University

Featured Researchers